Triple

T18372953
Position Surface form Disambiguated ID Type / Status
Subject WKRP in Cincinnati E446231 entity
Predicate hasCastMember P2308 FINISHED
Object Howard Hesseman NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Howard Hesseman | Statement: [WKRP in Cincinnati, hasCastMember, Howard Hesseman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard Hesseman
Context triple: [WKRP in Cincinnati, hasCastMember, Howard Hesseman]
  • A. Howard Hesseman chosen
    Howard Hesseman was an American actor and comedian best known for his role as DJ Dr. Johnny Fever on the television sitcom "WKRP in Cincinnati."
  • B. Ronald Vernon Newman
    Ronald Vernon Newman was an English-born American soccer coach best known for his pioneering role and success in North American professional and indoor soccer.
  • C. Gary Chandler
    Gary Chandler is a British guitarist best known for his work with the progressive rock band Jadis.
  • D. William H. Murray
    William H. Murray was an American lawyer and politician who served as the ninth governor of Oklahoma and was a prominent figure in the state’s early political history.
  • E. Kurtwood Smith
    Kurtwood Smith is an American character actor best known for playing the strict father Red Forman on the sitcom "That '70s Show" and for roles in films like "RoboCop."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e517561edc8190b5d2834707ab662b completed April 19, 2026, 5:56 p.m.
Created at: April 10, 2026, 10:45 a.m.